Recommender system for sport videos based on user audiovisual consumption


Autoria(s): Sánchez García, Faustino Ángel; Alduan Mellado, Maria; Alvarez Garcia, Federico; Menendez Garcia, Jose Manuel; Báez Redondo, Orlando
Data(s)

01/12/2012

Resumo

This paper describes a recommender system for sport videos, transmitted over the Internet and/or broadcast, in the context of large-scale events, which has been tested for the Olympic Games. The recommender is based on audiovisual consumption and does not depend on the number of users, running only on the client side. This avoids the concurrence, computation and privacy problems of central server approaches in scenarios with a large number of users, such as the Olympic Games. The system has been designed to take advantage of the information available in the videos, which is used along with the implicit information of the user and the modeling of his/her audiovisual content consumption. The system is thus transparent to the user, who does not need to take any specific action. Another important characteristic is that the system can produce recommendations for both live and recorded events. Testing has showed advantages compared to previous systems, as will be shown in the results.

Formato

application/pdf

Identificador

http://oa.upm.es/15566/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/15566/2/INVE_MEM_2012_115274.pdf

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6295667

info:eu-repo/semantics/altIdentifier/doi/10.1109/TMM.2012.2217121

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Ieee Transactions on Multimedia, ISSN 1520-9210, 2012-12, Vol. 14, No. 6

Palavras-Chave #Deportes #Telecomunicaciones
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed